About
Chronic inflammatory skin diseases have become a public problem that threatens human health and has a major impact on our health and healthcare system. We aim to understand the association of different factors such as genetics, environment and lifestyle with chronic inflammatory skin diseases. We know that genetic predisposition, lifestyle factors (Mediterranean diet, sleep, etc.) and air pollution increase the risk of these diseases. In addition, recent studies have shown that an imbalance of different types of biomolecules in our body (such as genes, proteins and metabolites) may also be at play in relation to skin-related diseases. By combining all these factors, we can improve the accuracy of our risk assessment and prevention strategies.
In this project, we will use the latest algorithms to analyse data from multiple sources. By looking at these factors together, we hope to understand their individual and combined effects on skin diseases. This will help us more accurately predict the long-term outcomes of these diseases. In addition, with skin disorders often accompanied by other co-morbidities such as anxiety and depression, we can use the relevant data to assess chronic metabolic disease risk in the long term.
The project will run for 3 years, during which time we will analyse large datasets and develop models to assess their risk in relation to chronic inflammatory skin diseases. The results of this study will improve our understanding of the factors associated with chronic inflammatory skin diseases and this knowledge can be used to develop targeted prevention strategies and interventions.